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Swarming Computational Approach for the Heartbeat Van Der Pol Nonlinear System

Computers, Materials & Continua 2022年第9期72卷 6185-6202页

作者： Muhammad Umar Fazli Amin Soheil Salahshour Thongchai Botmart Wajaree Weera Prem Junswang Zulqurnain Sabir Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The present study is related to design a stochastic framework for the numerical treatment of the Van der Pol heartbeat model(VP-HBM)using the feedforward artificial neural networks(ANNs)under the optimization of particle swarm optimization(PSO)hybridized with the active-set algorithm(ASA),i.e.,*** global search PSO scheme and local refinement of ASA are used as an optimization procedure in this *** error-based merit function is defined using the differential VP-HBM form as well as the initial *** optimization of the merit function is accomplished using the hybrid computing performances of *** designed performance of ANNs-PSO-ASA is implemented for the numerical treatment of the VP-HBM dynamics by fluctuating the pulse shape adjustment terms,external forcing factor and damping coefficient with fixed ventricular contraction *** perform the correctness of the present scheme,the obtained numerical results through the designed ANN-PSO-ASA will be compared with the Adams numerical *** statistical investigations with larger dataset are provided using the“mean absolute deviation”,“Theil’s inequality coefficient”and“variance account for”operators to perform the applicability,reliability,and effectiveness of the designed ANNs-PSO-ASA scheme for solving the VP-HBM.

关键词： Particle swarm optimization van der Pol heartbeat system statistical analysis artificial neural networks active-set algorithm numerical computing

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An Advanced Stochastic Numerical Approach for Host-Vector-Predator Nonlinear Model

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Computers, Materials & Continua 2022年第9期72卷 5823-5843页

作者： Prem Junswang Zulqurnain Sabir Muhammad Asif Zahoor Raja Soheil Salahshour Thongchai Botmart Wajaree Weera Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliouYunlin64002Taiwan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

A novel design of the computational intelligent framework is presented to solve a class of host-vector-predator nonlinear model governed with set of ordinary differential *** host-vector-predator nonlinear model depends upon five groups or classes,host plant susceptible and infected populations,vectors population of susceptible and infected individuals and the predator *** unsupervised artificial neural network is designed using the computational framework of local and global search competencies of interior-point algorithm and genetic *** solving the hostvector-predator nonlinear model,a merit function is constructed using the differential model and its associated boundary *** optimization of this merit function is performed using the computational strength of designed integrated heuristics based on interior point method and genetic *** the comparison,the obtained numerical solutions of networks models optimized with efficacy of global search of genetic algorithm and local search with interior point method have been compared with the Adams numerical solver based results or ***,the statistical analysis will be performed to check the reliability,robustness,viability,correctness and competency of the designed integrated heuristics of unsupervised networks trained with genetic algorithm aid with interior point algorithm for solving the biological based host-vector-predator nonlinear model for sundry scenarios of paramount interest.

关键词： Nonlinear host-vector-predator system adams results global/local search methods optimization neural networks statistical analysis

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Novel Computing for the Delay Differential Two-Prey and One-Predator System

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Computers, Materials & Continua 2022年第10期73卷 249-263页

作者： Prem Junsawang Zulqurnain Sabir Muhammad Asif Zahoor Raja Soheil Salahshour Thongchai Botmart Wajaree Weera Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliou64002Taiwan Faculty of Engineering and Natural Sciences Bahcesehir UniversityIstanbulTurkey Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The aim of these investigations is to find the numerical performances of the delay differential two-prey and one-predator *** delay differential models are very significant and always difficult to solve the dynamical kind of ecological nonlinear two-prey and one-predator ***,a stochastic numerical paradigm based artificial neural network(ANN)along with the Levenberg-Marquardt backpropagation(L-MB)neural networks(NNs),i.e.,L-MBNNs is proposed to solve the dynamical twoprey and one-predator *** different cases based on the dynamical two-prey and one-predator system have been discussed to check the correctness of the *** statistic measures of these outcomes of the dynamical two-prey and one-predator model are chosen as 13%for testing,12%for authorization and 75%for *** exactness of the proposed results of L-MBNNs approach for solving the dynamical two-prey and onepredator model is observed with the comparison of the Runge-Kutta method with absolute error ranges between 10−05 to 10−*** check the validation,constancy,validity,exactness,competence of the L-MBNNs,the obtained state transitions(STs),regression actions,correlation presentations,MSE and error histograms(EHs)are also provided.

关键词： Delay differential model dynamical system prey-predator Levenberg-Marquardt backpropagation MSE neural networks

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Intelligent Networks for Chaotic Fractional-Order Nonlinear Financial Model

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Computers, Materials & Continua 2022年第9期72卷 5015-5030页

作者： Prem Junswang Zulqurnain Sabir Muhammad Asif Zahoor Raja Waleed Adel Thongchai Botmart Wajaree Weera Department of Statistics Faculty of ScienceKhon Kaen UniversityKhon Kaen 40002Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Department of Electrical Engineering COMSATS Institute of Information TechnologyAttockPakistan Department of Mathematics and Engineering Physics Faculty of EngineeringMansoura UniversityEgypt UniversitéFrançaise D’Egypte Ismailia Desert RoadEl-ShoroukCairoEgypt Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen 40002Thailand

The purpose of this paper is to present a numerical approach based on the artificial neural networks(ANNs)for solving a novel fractional chaotic financial model that represents the effect of memory and chaos in the presented *** method is constructed with the combination of the ANNs along with the Levenberg-Marquardt backpropagation(LMB),named the *** technique is tested for solving the novel problem for three cases of the fractional-order values and the obtained results are compared with the reference *** numbers neurons have been used to solve the fractional-order chaotic financial *** selection of the data to solve the fractional-order chaotic financial model are selected as 75%for training,10%for testing,and 15%for *** results indicate that the presented approximate solutions fit exactly with the reference solution and the method is effective and *** obtained results are testified to reduce the mean square error(MSE)for solving the fractional model and verified through the various measures including correlation,MSE,regression histogram of the errors,and state transition(ST).

关键词： Financial model chaotic fractional-order reference dataset artificial neural networks levenberg-marquardt backpropagation

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Vertically aligned NiS nano-flakes derived from hydrothermally prepared Ni(OH)2 for high performance supercapacitor

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Journal of Energy Chemistry 2018年第3期27卷 791-800页

作者： A.M.Patil A.C.Lokhande P.A.Shinde J.H.Kim C.D.Lokhande Thin Film Physics Laboratory Department of PhysicsSbivaji UniversityKolbapar 416004 MHIndia Department of Materials Science and Engineering Chonnam National University 300 Yongbong-DongPuk-GuGwangju.South Korea Centre for Interdisciplinaly Research D.Y.Patil UniversityKolhapurIndia

In present work,the vertically aligned Ni S nano-flakes composed thin film is prepared by anionic exchange process in which hydrothermally prepared Ni（OH）2is used as a parent thin film and Na2S as a sulfide ion *** synthesis process produced fully transformed and shape-controlled nano-flakes of Ni S from nano-flowers of Ni（OH）*** electrochemical supercapacitor properties of Ni S electrode are studied with cyclic voltammetry（CV）,galvonostatic charge discharge（GCD）and electrochemical impedance spectroscopy（EIS）*** porous surface area（85 m^2/g）of Ni S nano-flakes makes large material contribution in electrochemical reaction stretching specific capacitance（Cs）of 880 F/g at scan rate of 5 m V/s and 90%electrochemical stability up to 4000 CV cycles in 2 M KOH ***,the flexible solid-state symmetric supercapacitor device（Ni S/PVA–Li ClO4/Ni S）has been fabricated using Ni S electrodes with polyvinyl alcohol（PVA）–lithium perchlorate（Li ClO4）gel *** Ni S/PVA–Li ClO4/Ni S device exhibits specific capacitance of 56 F/g with specific energy of 14.98 Wh/kg and excellent cycling stability after 2000 *** addition,the Ni S/PVA–Li ClO4/Ni S device demonstrates illumination of red light emitting diode（LED）for 60 s,which confirms the practical applicability of Ni S/PVA–Li ClO4/Ni S device in energy storage.

关键词： Anionic exchange process Nickel sulfide Nano-flakes Supercapacitor Thin film

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Analysis of opto-thermal interaction of porcine stomach tissue with 808-nm laser for endoscopic submucosal dissection

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Journal of Innovative Optical Health Sciences 2015年第6期8卷 81-91页

作者： Seongjun Kim M.Tamim Hossain Don Haeng Lee Jung Kyung Kim Department of Mechanical Engineering Graduate School Kookmin University Seoul 136-702Republic of Korea Department of Integrative Biomedical Science and Engineering Graduate SchoolKookmin University Seoul 136-702Republic of Korea Division of Gastroenterology Department of Internal Medicine Inha University School of Medicine National Center of Efficacy Evaluation for the development of Health Products Targeting Digestive Disorders Utah-Inha DDS&Advanced Therapeutics Research Center 27 Inhang-ro Jung-guIncheon 400-711Republic of Korea Department of Mechanical Engineering Kookmin University Seoul 136-702 Republic of Korea

In endoscopic submucosal dissection(ESD),the narrow gastrointestinal space can cause difficulty in surgical *** ablation apparatuses with high-power CO_(2) lasers or Nd:YAG lasers have been developed to facilitate endoscopic surgical *** studied the interaction of 808-nm laser light with a porcine stomach tissue,with the aim of developing a therapeutic medical device that can remove lesions at the gastrointestinal wall by irradiating a near-infrared laser light incorporated in an endoscopic *** perforation depths at the porcine fillet and the stomach tissues linearly increased in the range of 2–8mm in proportion to the laser energy density of 63.7–382 kJ/cm^(2).Despite the distinct structural and compositional di®erence,the variation of the perforation depth between the stomach and the fillet was not found at 808-nm wavelength in our *** further studied the laser–tissue interaction by changing the concentration of the methyl blue solution used conventionally as a submucosal fluidic cushion(SFC)in ESD *** temperature of the mucosal layer increased more rapidly at higher concentration of the methyl blue solution,because of enhanced light absorption at the SFC *** insertion of the SFC would protect the muscle layer from thermal *** confirmed that more effective laser treatment should be enabled by tuning the opto-thermal properties of the *** study can contribute to the optimization of the driving parameters for laser incision techniques as an alternative to conventional surgical interventions.

关键词： Near-infrared laser surgical intervention laser-tissue interaction submucosal fluid cushion temperature distribution

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Swarming Computational Techniques for the Influenza Disease System

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Computers, Materials & Continua 2022年第12期73卷 4851-4868页

作者： Sakda Noinang Zulqurnain Sabir Gilder Cieza Altamirano Muhammad Asif Zahoor Raja Manuel Jesús Sànchez-Chero María-Verónica Seminario-Morales Wajaree Weera Thongchai Botmart Department of Mathematics Statistics and Computer Faculty of ScienceUbon Ratchathani UniversityUbon Ratchathani34190Thailand Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Universidad Nacional Autonoma de Chota Cajamarca06121Peru Future Technology Research Center National Yunlin University of Science and Technology123 University RoadSection 3DouliouYunlin64002Taiwan Universidad Nacional de Frontera SullanaPeru Department of Mathematics Faculty of ScienceKhon Kaen UniversityKhon Kaen40002Thailand

The current study relates to designing a swarming computational paradigm to solve the influenza disease system(IDS).The nonlinear system’s mathematical form depends upon four classes:susceptible individuals,infected people,recovered individuals and cross-immune *** solutions of the IDS are provided by using the artificial neural networks(ANNs)together with the swarming computational paradigm-based particle swarmoptimization(PSO)and interior-point scheme(IPA)that are the global and local search *** ANNs-PSO-IPA has never been applied to solve the *** a merit function in the sense of mean square error is constructed using the differential form of each class of the IDS and then optimized by the *** correctness and accuracy of the scheme are observed to perform the comparative analysis of the obtained IDS results with the Adams solutions(reference solutions).An absolute error in suitable measures shows the precision of the proposed ANNs procedures and the optimization efficiency of the ***,the reliability and competence of the proposed computing method are enhanced through the statistical performances.

关键词： Disease influenza model reference results particle swarm optimization artificial neural networks interior-point scheme statistical investigations

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Mechanochemical Synthesis and Characterization of Nanocrystalline Copper-Cobalt Ferrites

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Acta Metallurgica Sinica(English Letters) 2015年第3期28卷 367-372页

作者： Nikolay Velinov Dimitar Dimitrov Kremena Koleva Krassimir Ivanov Ivan Mitov Institute of Catalysis Bulgarian Academy of Sciences Department of Chemistry Agricultural University

Nanocrystalline copper-cobalt ferrites with composition Cu_（1-x）Co_xFe_2O_4,where x = 0.2 and 0.8,were synthesized by mechanochemical treatment of co-precipitated *** ferrite powders were characterized by XRD and Mossbauer *** proved obtaining of spinel ferrites with crystallite size smaller than 10 *** of crystallite size of samples with increasing of mechanochemical treatment duration was established,*** properties of obtained ferrites were tested in reactions of oxidation of CO,methanol and dimethyl *** catalytic activity of nanocrystalline copper-cobalt ferrites toward CO and CH_3OH（about 100% conversions of CO and CH_3OH at 160 ℃）and moderate activity toward（CH_3）_2O oxidation were *** results obtained revealed that the Co/Cu atomic ratio is an important factor determinant the behavior of catalysts toward methanol and DME oxidation.

关键词： Mechanochemical synthesis Nanocrystalline Ferrites Mossbauer spectroscopy Catalysis

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Preparation and electrocatalytic property of Au-Pt/SnO_2/GC composite electrode

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Rare Metals 2009年第4期28卷 350-354页

作者： YU Zhihui XIE Jia BAI Jie TIAN Mi XIA Dingguo College of Environmental and Energy Engineering Beijing University of Technology Beijing 100124 China

Au-Pt/SnO2/GC composite electrode was prepared by self-assembling Au-Pt nanoparticles on SnO2 film, which was deposited on actived glassy carbon （GC）. Atomic force microscopy （AFM） and scanning electron microscopy （SEM） images revealed that dense and uniform Au-Pt particles with 25-nm diameter were dispersed on SnO2 film. X-ray photoelectron spectroscopy （XPS） results proved that there was an interaction between Au-Pt nanoparticles and SnO2 support. Electrochemical experiments showed that Au-Pt/SnOz/GC composite electrode had a good electrocatalytic activity to the oxidation of methanol

关键词： . electrochemistry composite electrode self-assembling Au-Pt SnO2 methanol oxidation

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Seam Tracking Technology for Hyperbaric Underwater Welding

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Chinese Journal of Mechanical Engineering 2009年第2期22卷 265-269页

作者： JIAO Xiangdong YANG Yongyong ZHOU Canfeng Research Center of Offshore Engineering Joining Technology Beijing Institute of Petrochemical Technology Beijing 102617 China

Automatic weld seam tracking technology to be used in hyperbaric underwater damaged pipeline repair welding is much more important, because of poor bevel preparation and severe working condition. A weld seam tracking system based on digital signal processing（DSP） passive light weld image processing technology has been established. A convenient charge coupled device（CCD） camera system was used in the high pressure environment with the help of an aperture and focus altering mechanism to guarantee overall image visibility in the scope of pressure below 0.7 MPa. The system can be used in the hyperbaric environment to pick up the real welding image of both the welding arc and the welding pool. The newly developed DSP technology was adopted to achieve the goal of system real time characteristics. An effective weld groove edge recognition technique including narrow interesting window opening, middle value wave filtering, Sobel operator weld edge detecting and edge searching in a defined narrow area was proposed to remove the guide error and system accuracy was ensured. The results of tracking simulation and real tracking application with arc striking have proved the validity and the accuracy of the mentioned system and the image processing method.

关键词： hyperbaric underwater welding seam tracking weld edge recognition

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